Data & Security

Data Engineering & Security

ETL and warehouse work, plus application security and QA, so dashboards, models, and releases sit on reliable data.

Timeline
Focused pipeline or security pass in 3-8 weeks. Broader platforms 8-14 weeks.
Engagement
Custom quote after discovery. Scoped pipeline, security review, or combined retainer.
Delivery
Remote across India and overlap-friendly hours for US and EU teams.

What you get

  • Source inventory and a warehouse or lakehouse target design
  • ETL/ELT pipelines with scheduled jobs and failure alerts
  • Quality checks for freshness, nulls, and row counts
  • OWASP-aligned application review and secrets hygiene
  • Automated unit, integration, and end-to-end tests where they pay off
  • Runbooks for on-call and a written residual-risk list

How we deliver

  1. 01

    Map

    List sources, owners, SLAs, and the questions the data must answer.

  2. 02

    Pipe

    Build and backfill pipelines, then validate against known reports.

  3. 03

    Harden

    Add tests, access controls, and a security pass before you depend on it.

Built for

  • Teams that need trusted dashboards or training data for AI
  • SaaS products preparing SOC 2 style controls
  • Engineering groups without a dedicated data or security hire

Not a fit when

  • One-off spreadsheet cleanup with no recurring pipeline
  • Penetration tests that require a certified CREST-only firm
  • Data science research without an operational owner

Data Engineering and Security Services

Pipelines you can operate after handoff

Agentic Academy Labs designs ETL and ELT pipelines, warehouses, and quality checks for teams that need reporting, training data, or operational dashboards. A focused pipeline usually ships in three to eight weeks. A broader warehouse with several sources often takes eight to fourteen weeks after discovery.

We document freshness SLAs, failure alerts, and who owns each source so the system does not depend on one engineer. That documentation is part of delivery, not an optional extra.

Security and QA in the same engagement

Data work is paired with application security and test automation when the product needs it: secrets hygiene, access reviews, OWASP-aligned coding, and automated tests on the paths that break releases. Residual risks are written down.

This is not a substitute for a certified penetration-test firm when a buyer requires one. We cover the engineering controls that make those tests cheaper. Pair with cloud migration when hosting and data move together, or custom AI development when the warehouse feeds a model.

How to start

Bring the questions your dashboards or models must answer, plus access to current sources. Schedule a discovery call for a scoped estimate, or browse projects for related delivery.

Frequently asked questions

Source inventory, warehouse or lakehouse design, ETL/ELT pipelines, freshness and quality checks, and runbooks. Security reviews and QA automation can sit in the same engagement.